在矿尼基酸盐中诱导气调节残余极化
Yifan Yuan1, Michele Kotiuga2, Tae Joon Park3
1Department of Electrical & Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. yifan.yuan10@gmail.com.
Nature communications
|June 3, 2024
概括
兴奋剂将NdNiO3转化为具有可调节偏振的绝缘材料. 这种材料表现出暂时负差电容,使得神经形态计算硬件的无监督学习成为可能.
科学领域:
- 凝聚物质物理学 凝聚物质物理学
- 固态设备技术技术 固态设备技术
- 材料科学是一种材料科学.
背景情况:
- 对先进的电子设备而言,可调节的极化是非常重要的.
- 矿尼基酸盐,如NdNiO3,是这些应用的有希望的材料.
研究的目的:
- 为了研究 (H) 兴奋剂对NdNiO3.3室温金属相的影响.
- 探索由此产生的极化特性及其在神经形态计算中的潜在应用.
主要方法:
- (H) 供体对 NdNiO3.3 的化剂进行了化.
- 在薄膜电容器中证明短暂负差电容.
- 第一个原则计算,以了解两极化机制.
- 在无监督学习的神经网络中实现过渡性特征.
主要成果:
- doping 将金属 NdNiO3 阶段转换为具有转移稳定的双极和空间电荷偏振的绝缘阶段.
- 由质子运动驱动的空间电荷极化,在值电场以上占主导地位.
- 极化衰变发生在大约1秒内,适合神经形态硬件.
- 成功展示了使用材料的短暂性质进行无监督学习的方法.
结论:
- 兴奋剂是制造铁电材料和电电的有效策略.
- 用H合的NdNiO3的短暂极化特性为神经形态计算硬件提供了新的可能性.
- 这项研究为设计使用光离子兴奋剂的新型功能材料开辟了道路.
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